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An unsupervised machine learning approach for ground‐motion spectra clustering and selection

Author(s): (Department of Civil and Environmental Engineering Northeastern University Boston Massachusetts USA)
ORCID (Machine Learning and Analytics Group Lawrence Berkeley National Lab Berkeley California USA)
ORCID (Department of Civil and Environmental Engineering Northeastern University Boston Massachusetts USA)
(Gaoling School of Artificial Intelligence Renmin University of China Beijing China)
Medium: journal article
Language(s): English
Published in: Earthquake Engineering and Structural Dynamics, , n. 3, v. 53
Page(s): 1107-1124
DOI: 10.1002/eqe.4062
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1002/eqe.4062.
  • About this
    data sheet
  • Reference-ID
    10749693
  • Published on:
    14/01/2024
  • Last updated on:
    10/02/2024
 
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